Quadric

Engineer

• Design, implement, and maintain compiler optimization passes targeting Quadric’s processor architecture
• Develop lowering pathways from PyTorch, TensorFlow, and ONNX to optimized low-level kernel code
• Optimize neural network performance for memory throughput, latency, compute-unit utilization, and power consumption
• Implement graph-level optimizations including operator fusion, layout transformation, quantization, and memory allocation strategies
• Analyze Transformer, CNN, and Vision-Language Model topologies and extend compiler support for new operators and primitives
• Benchmark and profile end-to-end model performance to identify and resolve compiler bottlenecks
• Collaborate with hardware and micro-architecture teams on instruction-set extensions, hardware acceleration features, and compiler requirements
• Develop software simulators, functional models, and test benches to validate compiler correctness and generated binary performance
• Participate in hardware bring-up and validation on FPGA and ASIC platforms
• Integrate key deep learning models into Quadric’s compiler pipeline
• Implement custom graph and code-generation optimization passes delivering measurable benchmark improvements
• Partner with the architecture team on next-generation micro-architecture definition through workload analysis

Explore Staff Deep Learning Compiler Engineer at Quadric. Review requirements and application details.

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Staff Deep Learning Compiler Engineer